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I can create clustered or non-clustered index on view and SQL SERVER says, we can have multiple non-clustered index (max 249), but only one clustered index exist on table or view. Because, records are sorted, where they physically stored and we can't have multiple sorting order. So, my question is, since View doesn't physically stored in database. Then, what if I create clustered index on view and base table already exist clustered index. How clustered index implemented on view ? How clustered index works and useful on view ?
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Creating a unique clustered index on a view improves query performance because the view is stored in the database in the same way a table with a clustered index is stored. The query optimizer may use indexed views to speed up the query execution.
Using SQL Server Management Studio In Object Explorer, expand the table on which you want to create a clustered index. Right-click the Indexes folder, point to New Index, and select Clustered Index.... In the New Index dialog box, on the General page, enter the name of the new index in the Index name box.
Conclusion. Indexes are great because they speed up the performance and with an index on a view it should really speed up the performance because the index is stored in the database. Indexing both views and tables is one of the most efficient ways to improve the performance of queries and applications using them.
Introduction to SQL Server indexed viewTo create an indexed view, you use the following steps: First, create a view that uses the WITH SCHEMABINDING option which binds the view to the schema of the underlying tables. Second, create a unique clustered index on the view. This materializes the view.
Clustered indexes are implemented in the following ways: When you create a PRIMARY KEY constraint, a unique clustered index on the column or columns is automatically created if a clustered index on the table does not already exist and you do not specify a unique nonclustered index.
After the unique clustered index has been created, you can create more nonclustered indexes. Creating a unique clustered index on a view improves query performance because the view is stored in the database in the same way a table with a clustered index is stored. The query optimizer may use indexed views to speed up the query execution.
Step 1: In the object explorer, move to the database table on which you wish to create an index. From the table, move to Indexes. Step 2: Select a new index from the extended menu and a dialog box as shown below will appear. Step 3: On the dialog box, choose index type as “clustered”.
Dropping the clustered index on the view removes the stored result set, and the optimizer returns to processing the view like a standard view. Indexes on tables and views can be disabled.
A view is just a stored query with no materialized data unless it has a clustered index.
In many cases, people think that any old view can be "sped up" by adding a clustered index. This is very seldom the case. Typically you create an indexed view to pre-aggregate certain computations, such as SUM or COUNT_BIG. If you create an indexed view that doesn't aggregate and hence has the same number of rows / pages as the base table, you haven't achieved anything (of course, like anything, there are exceptions - the index on the view could be skinnier than the base table, for example, leading to fewer pages).
As an aside, you can't create a non-clustered index on a view unless you first create a clustered index. And you should also keep in mind that, like indexes on a table, an indexed view is not free. While it may speed up some queries, SQL Server has to maintain the index throughout the DML portion of your workload.
You really should read documents like this one, which goes into more detail about the performance benefits of indexed views, and this one, which documents restrictions and limitations among other things.
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A clustered index on a view is basically a new table that gets automatically updated when the referenced tables get changed. So you buy quicker access time with pre collected data but you are paying with a significantly higher (double in many cases) storage use.
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